Papu Singh deo

I've analyzed 500K+ monthly transactions at TTEC India to detect fraud patterns, behavioral anomalies, and risk indicators in a high-volume environment. My fraud analytics work helped improve detection efficiency by approximately 15–20% and reduce case-resolution turnaround time by approximately 18%.

As an independent analyst, I build end-to-end solutions across credit risk, churn prediction, marketing optimisation, demand forecasting, and BI dashboards. I take projects from data collection and cleaning through statistical modelling, executive-ready reporting, and clear business recommendations.

I've built Power BI dashboards used by senior leadership to monitor detection rates, false positives, alert volumes, and fraud KPIs. I also apply A/B testing, regression, clustering, cohort analysis, and forecasting to turn complex data into practical decisions for non-technical stakeholders.

I'm passionate about making data accurate, accessible, and useful in a remote, collaborative environment.